Abstract
Automation is so prevalent in this present-day universe that it would be an injustice to areas not yet touched by it. Automating stuff in the veil of Recommendation Systems can do wonders irrespective of the field. Hence, we have perceived the idea of automating the interviewing process. AutIS can help mitigate the hardships and expenses involved in the interviewing process. Think about a system that asks fair questions to all candidates and judge them with a fair rating system. Hence, we thought of building a recommendation system capable of solving most of the problems described by automating certain parts of the interview process. A web app has been created that uses ReactJs for frontend NodeJs for computation in the backend, which can be easily operated by someone with some or little knowledge of the interviewing process as it automates the sequence in which should be asked questions. Apart from that, it calculates some statistics that are important for comparison among the interviewees.
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Dewang, R.K. et al. (2022). AutIS: Artificial Intelligent Based Automated Interviewing System. In: Abraham, A., et al. Hybrid Intelligent Systems. HIS 2021. Lecture Notes in Networks and Systems, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-96305-7_29
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DOI: https://doi.org/10.1007/978-3-030-96305-7_29
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